Metaheuristics, and evolutionary algorithms in particular, are known to provide efficient, adaptable solutions for many real-world problems, but the often informal way in which they are defined and applied has led to misconceptions, and even successful applications are sometimes the outcome of trial and error. Ideally, theoretical studies should explain when and why metaheuristics work, but the challenge is huge: mathematical analysis requires significant effort even for simple scenarios and real-life problems are usually quite complex. In this book the editors establish a bridge between the
Combinatorial optimization attracted many researchers since more than three decades. Plenty of cla...
In recent years, there have been significant advances in the theory and application of meta-heuristi...
In recent years, there have been significant advances in the theory and application of metaheuristic...
Meta-heuristics are practical optimisation-techniques I a pragmatic approach to NP-hard optimisation...
This book aims at attracting the interest of researchers and practitioners around the applicability ...
When facing complex and unknown problems, it is very natural to use rules of thumb, common sense, tr...
A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic methods...
Metaheuristics, in their original definition, are solution methods that orchestrate an interaction b...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
This talk provides a complete background on metaheuristics and presents in a unified view the main d...
This paper presents a quick review of the basic concepts and essential steps for implementing of met...
To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable. However, ...
In recent years, the field of combinatorial optimization has witnessed a true tsunami of “novel ” me...
International audienceThis chapter describes the history of metaheuristics in five distinct periods,...
Plenary speakerNational audienceThe lecture will focus on metaheuristics and will present a general ...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of cla...
In recent years, there have been significant advances in the theory and application of meta-heuristi...
In recent years, there have been significant advances in the theory and application of metaheuristic...
Meta-heuristics are practical optimisation-techniques I a pragmatic approach to NP-hard optimisation...
This book aims at attracting the interest of researchers and practitioners around the applicability ...
When facing complex and unknown problems, it is very natural to use rules of thumb, common sense, tr...
A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic methods...
Metaheuristics, in their original definition, are solution methods that orchestrate an interaction b...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of clas...
This talk provides a complete background on metaheuristics and presents in a unified view the main d...
This paper presents a quick review of the basic concepts and essential steps for implementing of met...
To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable. However, ...
In recent years, the field of combinatorial optimization has witnessed a true tsunami of “novel ” me...
International audienceThis chapter describes the history of metaheuristics in five distinct periods,...
Plenary speakerNational audienceThe lecture will focus on metaheuristics and will present a general ...
Combinatorial optimization attracted many researchers since more than three decades. Plenty of cla...
In recent years, there have been significant advances in the theory and application of meta-heuristi...
In recent years, there have been significant advances in the theory and application of metaheuristic...